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Random Fields Estimation

This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No;

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Random Processes

, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Digital Processing of Random Signals

This excellent advanced text rigorously covers several topics related to random signal processing. Geared toward students of electrical;

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Random Fields On The Sphere

Random Fields on the Sphere presents a comprehensive analysis of isotropic spherical random fields. The main emphasis is on tools from;

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Random Fields for Spatial Data Modeling

field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model;

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Probability and Statistics

of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design;

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Estimates of Periodically Correlated Isotropic Random Fields

We propose results of the investigation of the problem of the mean square optimal estimation of linear functionals which depend on the;

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Markov Random Field Modeling in Image Analysis

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables;

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Probability Concepts in Engineering Planning and Design

of Parameters 5.2.1. Random Sampling and Point Estimation 5.2.2. Interval Estimation of the Mean 5.2.3. Problems of Measurement Theory 5.2.4. Interval;

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Gaussian and Non-Gaussian Linear Time Series and Random Fields

The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical;

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Particle Filters for Random Set Models

Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book;

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Random Signals

filtering; and statistical estimation - the measurement and analysis of random data to determine the structure and parameter values of probabilistic;

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Pattern Theory

of Computational Anatomy, and finally Chapters 17 and 18 look at inference, exploring random sampling approaches for estimation of model order and;

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Processing Random Data

the process itself could be random, like turbulence. Parameter estimation techniques are shown for many different types of statistical models;

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Statistics 2 (International)

combinations of random variables, continuous random variables, sampling and estimation, and hypothesis tests.;

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Semiparametric and Nonparametric Methods in Econometrics

the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random;

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Applied Statistical Science III

Ordered Random Variables; Estimation of the Location Parameter of A Cauchy Distribution Using A Ranked Set Sample; On A Delayed Service Queuing;

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Mathematical Physics at Saint-Flour

Gross, Leonard: Thermodynamics, statistical mechanics, and random fields.-Foellmer, Hans: Random fields and diffusion processes.- Nelson;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Modeling and Estimation of Structural Damage

of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches;

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Principles and Applications of RELAX

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues;

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Digital Image Processing

. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a;

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Probability, Random Variables, and Random Processes

Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more;

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Probability and Random Processes

work. The text covers set theory, combinatorics, random variables, discrete and continuous probability, distribution functions, convergence;

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